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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,787,3713,617,627635,73117.573 %
2,980,62682.392 %1,2700.035 %

[Spanish Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
387,084386,55680,60420.852 %
305,66179.073 %2910.075 %

[Spanish Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18092,6552,6552258.475 %total under the threshold of 10000 people2,42991.488 %10.038 %
1810 → 18193,0033,0032819.357 %total under the threshold of 10000 people2,72090.576 %20.067 %
1820 → 18293,1563,1553029.572 %total under the threshold of 10000 people2,85390.428 %00.000 %
1830 → 18393,5943,59436310.100 %total under the threshold of 10000 people3,23089.872 %10.028 %
1840 → 18494,1154,11543610.595 %total under the threshold of 10000 people3,67789.356 %20.049 %
1850 → 18594,5804,57946710.199 %total under the threshold of 10000 people4,11289.801 %00.000 %
1860 → 18695,5185,51772113.069 %total under the threshold of 10000 people4,79686.931 %00.000 %
1870 → 18796,8606,86089213.003 %total under the threshold of 10000 people5,96886.997 %00.000 %
1880 → 18898,9688,9681,12412.533 %total under the threshold of 10000 people7,84087.422 %40.045 %
1890 → 189910,14610,1461,55215.297 %
8,59384.693 %10.010 %
1900 → 190912,14112,1402,09517.257 %
10,04582.743 %00.000 %
1910 → 191913,29613,2952,46718.556 %
10,82481.414 %40.030 %
1920 → 192917,59817,5953,12717.772 %
14,46582.211 %30.017 %
1930 → 193919,25219,2473,41617.748 %
15,82282.205 %90.047 %
1940 → 194926,44626,4385,22719.771 %
21,19380.161 %180.068 %
1950 → 195928,84728,8426,62622.973 %
22,19176.940 %250.087 %
1960 → 196932,76032,7488,60426.273 %
24,11573.638 %290.089 %
1970 → 197937,08337,07810,64628.712 %
26,39171.177 %410.111 %
1980 → 198944,18044,16712,34627.953 %
31,74771.879 %740.168 %
1990 → 199930,27130,2627,25023.957 %
22,96975.900 %430.142 %
2000 → 20091,6831,68069741.488 %total under the threshold of 10000 people98058.333 %30.179 %
2010 → 201939392051.282 %total under the threshold of 10000 people1948.718 %00.000 %

[Spanish Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America50,95350,95113,71726.922 %
37,11972.852 %1150.226 %
United Kingdom14,73014,7293,60724.489 %
11,10875.416 %140.095 %
Mexico15,41515,4093,49022.649 %
11,91077.292 %90.058 %
Japan10,52910,5282,19320.830 %
8,32779.094 %80.076 %
Germany15,33815,3383,05919.944 %
12,27280.010 %70.046 %
France19,28319,2833,39017.580 %
15,88382.368 %100.052 %
Argentina23,50123,4774,09517.443 %
19,36882.498 %140.060 %
Spain57,48357,4719,39716.351 %
48,05383.613 %210.037 %

[Spanish Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor22,42722,42711,16149.766 %
11,20049.940 %660.294 %
actor42,31442,30920,22347.798 %
21,96851.923 %1180.279 %
singer20,52120,5209,20444.854 %
11,26654.903 %500.244 %
vocalist21,01521,0149,23743.956 %
11,72755.806 %500.238 %
performing artist16,72116,7166,43938.520 %
10,24561.289 %320.191 %
television actor15,16615,1665,26134.689 %
9,88165.152 %240.158 %
artist104,874104,84333,01031.485 %
71,66168.351 %1720.164 %
musician37,54237,53710,80528.785 %
26,67071.050 %620.165 %
creator186,388186,31649,88526.774 %
136,20573.104 %2260.121 %
human10,01610,0152,67326.690 %
7,33273.210 %100.100 %
martial artist10,16110,1502,66826.286 %
7,48073.695 %20.020 %
media professional24,39324,3855,65723.199 %
18,70476.703 %240.098 %
journalist15,82215,8173,47421.964 %
12,33277.967 %110.070 %
writer62,05062,02913,61921.956 %
48,34577.939 %650.105 %
author80,37380,34516,64420.716 %
63,61979.182 %820.102 %
agent373,748373,40977,22020.680 %
295,90279.243 %2870.077 %
poet11,79711,7932,42520.563 %
9,36579.412 %30.025 %
biologist11,98111,9802,17618.164 %
9,80081.803 %40.033 %
composer18,17818,1753,29618.135 %
14,85181.711 %280.154 %
naturalist12,21312,2122,20118.023 %
10,00781.944 %40.033 %
erudite56,77956,76310,12217.832 %
46,61282.117 %290.051 %
educator20,06520,0623,54417.665 %
16,51182.300 %70.035 %
position65,04565,02611,40117.533 %
53,59682.422 %290.045 %
teacher19,53819,5353,37917.297 %
16,14982.667 %70.036 %
scientist35,55435,5426,04217.000 %
29,47882.938 %220.062 %
worker164,471164,41227,89716.968 %
136,37282.945 %1430.087 %
professional116,425116,39019,37516.647 %
96,93783.286 %780.067 %
researcher52,89652,8818,74416.535 %
44,11183.416 %260.049 %
screenwriter11,86011,8581,94316.386 %
9,90583.530 %100.084 %
non-fiction writer13,86313,8612,24416.189 %
11,61283.775 %50.036 %
social scientist13,35313,3472,14416.064 %
11,19483.869 %90.067 %
athlete118,934118,71718,77715.817 %
99,91784.164 %230.019 %
sports figure120,319120,09918,86915.711 %
101,20684.269 %240.020 %
visual artist26,98126,9624,14015.355 %
22,79584.545 %270.100 %
entrepreneur10,18010,1801,52614.990 %
8,63684.833 %180.177 %
politician52,38752,3737,58514.483 %
44,76985.481 %190.036 %
leader32,44832,4404,56614.075 %
27,86485.894 %100.031 %
academic16,11016,1072,24613.944 %
13,85686.025 %50.031 %
painter12,75712,7431,76413.843 %
10,97186.094 %80.063 %
instrumentalist10,71710,7171,47313.745 %
9,23486.162 %100.093 %
humanities scholar21,10021,0972,84313.476 %
18,24986.500 %50.024 %
businessperson16,29416,2922,18713.424 %
14,08486.447 %210.129 %
faculty member14,90814,9061,98113.290 %
12,92186.683 %40.027 %
university teacher14,88214,8801,97413.266 %
12,90286.707 %40.027 %
lawyer10,18410,1781,18511.643 %
8,98988.318 %40.039 %
jurist12,49812,4921,37811.031 %
11,11088.937 %40.032 %
manager24,20324,1962,65510.973 %
21,53388.994 %80.033 %
combatant27,98927,9693,05410.919 %
24,90189.031 %140.050 %
executive24,70524,6972,69310.904 %
21,99689.063 %80.032 %
leader of organisation24,68124,6732,68910.899 %
21,97689.069 %80.032 %
believer11,52211,5189248.022 %
10,59291.960 %20.017 %
director14,03314,0281,1087.898 %
12,91692.073 %40.029 %
clergy11,16611,1628497.606 %
10,31192.376 %20.018 %
cleric11,16611,1628497.606 %
10,31192.376 %20.018 %
competitive player70,03070,0154,6556.649 %
65,35393.341 %70.010 %
basketball player10,37710,3766606.361 %
9,71693.639 %00.000 %
employee26,26626,2541,1594.415 %
25,08195.532 %140.053 %
association football player47,64947,6371,2772.681 %
46,35997.317 %10.002 %
warrior17,73117,7223742.110 %
17,33697.822 %120.068 %
military personnel17,07917,0703542.074 %
16,70497.856 %120.070 %